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    support@collegese.com
    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Computer Science and Engineering

    Eternal University Sirmour
    Duration
    4 Years
     Computer Science UG OFFLINE

    Duration

    4 Years

    Computer Science and Engineering

    Eternal University Sirmour
    Duration
    Apply

    Fees

    ₹3,00,000

    Placement

    94.5%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Computer Science
    UG
    OFFLINE

    Fees

    ₹3,00,000

    Placement

    94.5%

    Avg Package

    ₹6,50,000

    Highest Package

    ₹12,00,000

    Seats

    450

    Students

    1,800

    ApplyCollege

    Seats

    450

    Students

    1,800

    Curriculum

    Comprehensive Course Listing Across All Semesters

    SemesterCourse CodeCourse TitleCredits (L-T-P-C)Prerequisites
    ICS101Mathematics I3-1-0-4-
    ICS102Physics for Engineers3-1-0-4-
    ICS103Introduction to Programming2-0-2-4-
    ICS104Digital Logic Design3-1-0-4-
    ICS105Engineering Graphics2-0-2-4-
    ICS106English Communication Skills3-0-0-3-
    IICS201Mathematics II3-1-0-4CS101
    IICS202Data Structures and Algorithms3-1-0-4CS103
    IICS203Object-Oriented Programming in Java3-1-0-4CS103
    IICS204Database Management Systems3-1-0-4CS202
    IICS205Operating Systems3-1-0-4CS203
    IICS206Computer Networks3-1-0-4CS205
    IIICS301Mathematics III3-1-0-4CS201
    IIICS302Design and Analysis of Algorithms3-1-0-4CS202
    IIICS303Software Engineering3-1-0-4CS203
    IIICS304Computer Architecture3-1-0-4CS104
    IIICS305Probability and Statistics3-1-0-4CS101
    IVCS401Mathematics IV3-1-0-4CS301
    IVCS402Machine Learning3-1-0-4CS305
    IVCS403Cybersecurity Fundamentals3-1-0-4CS206
    IVCS404Embedded Systems3-1-0-4CS205
    IVCS405Human-Computer Interaction3-1-0-4CS203
    VCS501Advanced Algorithms3-1-0-4CS302
    VCS502Big Data Technologies3-1-0-4CS204
    VCS503Cloud Computing3-1-0-4CS206
    VCS504Distributed Systems3-1-0-4CS206
    VCS505Game Development3-1-0-4CS203
    VICS601Research Methodology3-1-0-4CS501
    VICS602Advanced Topics in AI3-1-0-4CS402
    VICS603Network Security3-1-0-4CS403
    VICS604Software Testing and Quality Assurance3-1-0-4CS303
    VICS605Project Management3-1-0-4-
    VIICS701Final Year Project4-0-0-8All previous semesters
    VIICS702Elective I3-1-0-4-
    VIICS703Elective II3-1-0-4-
    VIICS704Elective III3-1-0-4-
    VIIICS801Internship6-0-0-6CS701
    VIIICS802Elective IV3-1-0-4-
    VIIICS803Elective V3-1-0-4-
    VIIICS804Capstone Project6-0-0-6CS701

    Advanced Departmental Elective Courses

    Course 1: Machine Learning

    This course introduces students to the fundamentals of machine learning, including supervised and unsupervised learning techniques. Students will explore algorithms such as decision trees, neural networks, clustering methods, and reinforcement learning. The course emphasizes practical implementation using libraries like TensorFlow and Scikit-learn.

    Learning Objectives:

    • Understand key concepts in machine learning
    • Implement classification and regression models
    • Apply deep learning frameworks
    • Evaluate model performance using appropriate metrics

    Relevance:

    This course prepares students for roles in data science, AI research, and product development at top tech companies.

    Course 2: Cybersecurity Fundamentals

    This course covers essential principles of cybersecurity, including network security, cryptography, ethical hacking, and risk management. Students will learn how to identify vulnerabilities and implement security measures in real-world scenarios.

    Learning Objectives:

    • Understand common cyber threats and attack vectors
    • Implement cryptographic techniques for secure communication
    • Analyze network traffic for anomalies
    • Design robust security policies

    Relevance:

    This course equips students with skills needed to pursue careers in cybersecurity consulting, penetration testing, and IT security management.

    Course 3: Embedded Systems

    This course explores the design and development of embedded systems, focusing on real-time applications. Students will learn about microcontrollers, sensors, communication protocols, and system integration techniques.

    Learning Objectives:

    • Design embedded applications using C/C++
    • Understand hardware-software co-design
    • Implement communication protocols (UART, SPI, I2C)
    • Debug and optimize embedded software

    Relevance:

    This course prepares students for careers in IoT development, automotive engineering, and industrial automation.

    Course 4: Human-Computer Interaction

    This course focuses on the design of user interfaces and interaction models. Students will study cognitive psychology, usability testing, and prototyping techniques to create intuitive software products.

    Learning Objectives:

    • Apply principles of human cognition in interface design
    • Conduct user research and gather feedback
    • Develop prototypes using design tools
    • Evaluate interaction effectiveness using metrics

    Relevance:

    This course is ideal for students interested in UX/UI design, product management, and human factors engineering.

    Course 5: Software Engineering

    This course provides a comprehensive overview of software development lifecycle (SDLC) methodologies. Students will learn about requirements gathering, system design, testing, deployment, and maintenance strategies.

    Learning Objectives:

    • Apply SDLC models in real-world projects
    • Design scalable software architectures
    • Implement version control systems
    • Develop automated testing frameworks

    Relevance:

    This course prepares students for roles in software development, quality assurance, and project management.

    Project-Based Learning Philosophy

    Eternal University Sirmour follows a project-based learning philosophy that emphasizes experiential education. The program integrates mini-projects throughout the curriculum to reinforce theoretical concepts with practical implementation. These projects are designed to simulate real-world challenges and encourage teamwork, innovation, and problem-solving.

    Mini Projects:

    • Each semester includes one or two mini-projects that complement core subjects
    • Projects are evaluated based on technical proficiency, creativity, and presentation skills
    • Students can choose from a list of faculty-approved project topics or propose their own ideas
    • Faculty mentors guide students through each stage of the project lifecycle

    Final Year Thesis/Capstone Project:

    • Students select a thesis topic under faculty supervision after completing core courses
    • The capstone project spans two semesters and involves extensive research, development, and documentation
    • Projects are presented at the annual Tech Showcase event for industry evaluation
    • Successful projects may lead to publication opportunities or startup ventures